Group decision-making algorithm with sine trigonometric p, q-quasirung orthopair aggregation operators and their applications

被引:10
|
作者
Rahim, Muhammad [1 ]
Garg, Harish [2 ,3 ,4 ,5 ,6 ]
Khan, Salma [1 ]
Alqahtani, Haifa [7 ]
Khalifa, Hamiden Abd El-Wahed [8 ,9 ]
机构
[1] Hazara Univ, Dept Math & Stat, Mansehra 21300, Pakistan
[2] Thapar Inst Engn & Technol Deemed Univ, Sch Math, Patiala 147004, Punjab, India
[3] Graphic Era Deemed Univ, Dept Math, Dehra Dun 248002, Uttaranchal, India
[4] Appl Sci Private Univ, Appl Sci Res Ctr, Amman 11931, Jordan
[5] Natl Univ Sci & Technol, Coll Tech Engn, Dept Med Devices Engn Technol, Nasiriyah, Iraq
[6] Islamic Univ, Coll Tech Engn, Najaf, Iraq
[7] United Arab Emirates Univ, Dept Stat & Business Analyt, Al Ain, U Arab Emirates
[8] Qassim Univ, Coll Sci & Arts, Dept Math, Al Badaya 51951, Saudi Arabia
[9] Cairo Univ, Fac Grad Studies Stat Res, Dept Operat & Management Res, Giza 12613, Egypt
关键词
Multi attribute decision-making; q -Quasirung orthopair fuzzy sets; Trigonometric operations; Decision-making; INFORMATION; MODEL;
D O I
10.1016/j.aej.2023.07.051
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
p, q-quasirung orthopair fuzzy set (p, q-QOFS) is an extension of the q-rung orthopair fuzzy set (q-ROFS) theory used to represent uncertainty and vagueness in decision-making processes. The paper aims to utilize robust sine-trigonometric operational laws to investigate the group decision-making process within the p, q-QOFSs frame-work. The p, q-QOFS possess a distinctive characteristic of handling uncertain information by utilizing a wider space for membership representation compared to q-ROFS. Consequently, the current paper has been categorized into three distinct phases. In the initial phase, novel operational laws will be presented for p, q-QOFSs. The fundamental concept behind these newly proposed operations is to integrate the properties of the sine function, which include being periodic and symmetric about the origin, into the decision-making process for objects. Then, based on these laws, several operators for aggregating information will be obtained, along with their necessary properties and relationships. Lastly, an algorithm will be presented for interpreting the problem of multi attribute group decision-making (MAGDM), utilizing the operators, and demonstrating it with an illustrative example. A comprehensive comparative analysis will be conducted with some of the existing methods to uncover their impacts.
引用
收藏
页码:530 / 542
页数:13
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